Graduate Courses
Term Schedule
Fall 2018
| Number | Title | Instructor | Time |
|---|
|
BCS 502
–
–
|
|
An interdisciplinary introduction to cognition. Topics covered include learning, memory, attention, concepts and categories, cognitive development, and reasoning, each considered from the perspectives of behavioral study, computational processes, and neural mechanisms. BUILDING: | ROOM: |
|
BCS 508
RAIZADA R
–
|
|
General introduction to neuroscientific studies of various aspects of human cognition and perception, e.g. object-recognition, development, attention, language, vision, etc. The class will consist both of lectures and also seminar-type discussions led by the students. BUILDING: | ROOM: |
|
BCS 510 (CSP 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL | ROOM: 474 |
|
BCS 528 (BCS 528)
TADIN D
–
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
BCS 530 (DSC 530)
JACOBS R
MW 10:25AM - 11:40AM
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
BCS 542 (BCS 242)
WEBER M
TR 4:50PM - 6:05PM
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL | ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:15AM
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
BCS 591
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 595
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 595A
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 598
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 895
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 985
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 986V
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 995
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 997
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 997A
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 999
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 999A
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 999B
–
–
|
|
No description BUILDING: | ROOM: |
Fall 2018
| Number | Title | Instructor | Time |
|---|---|
| Monday and Wednesday | |
|
BCS 530 (DSC 530)
JACOBS R
MW 10:25AM - 11:40AM
|
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
| Monday, Wednesday, and Friday | |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:15AM
|
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
| Tuesday and Thursday | |
|
BCS 510 (CSP 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
|
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL | ROOM: 474 |
|
|
BCS 542 (BCS 242)
WEBER M
TR 4:50PM - 6:05PM
|
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL | ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
| TBA | |
|
BCS 502
–
–
|
|
|
An interdisciplinary introduction to cognition. Topics covered include learning, memory, attention, concepts and categories, cognitive development, and reasoning, each considered from the perspectives of behavioral study, computational processes, and neural mechanisms. BUILDING: | ROOM: |
|
|
BCS 508
RAIZADA R
–
|
|
|
General introduction to neuroscientific studies of various aspects of human cognition and perception, e.g. object-recognition, development, attention, language, vision, etc. The class will consist both of lectures and also seminar-type discussions led by the students. BUILDING: | ROOM: |
|
|
BCS 528 (BCS 528)
TADIN D
–
|
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
|
BCS 591
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 595
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 595A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 598
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 895
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 985
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 986V
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 995
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 997
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 997A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999B
–
–
|
|
|
No description BUILDING: | ROOM: |
|